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Table 1 Comparison of secondary structure prediction methods on the CB513 benchmark dataset

From: Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure

Method

Q3(%)

SOV(%)

MCCH

MCCE

MCCL

SVMpsi

76.6

73.5

0.68

0.60

0.56

JNET

76.9

N/A

N/A

N/A

N/A

YASSPP

77.8

75.1

0.58

0.64

0.71

DBNfinal

76.3

72.7

0.71

0.61

0.57

DBNpred

77.3

73.0

0.74

0.61

0.59

DBNN

78.1

74.0

0.74

0.64

0.60

PSIPRED

78.2

77.3

N/A

N/A

N/A

SVM_D3

78.4

N/A

N/A

N/A

N/A

DESTRUCT

79.4

77.5

N/A

N/A

N/A

DISSPred

80.0

N/A

0.77

0.68

0.62

DSPRED

80.3

77.7

0.78

0.68

0.63